[R] Possible to "import" histograms in R?

[Vladimir Eremeev]

Nick Chorley-3 wrote:
> 
> I have a large amount of data that I would like to create a histogram of
> and
> plot and do things with in R. It is pretty much impossible to read the
> data
> into R, so I have written a program to bin the data and now have a list of
> counts in each bin. Is it possible to somehow import this into R and use
> hist(), so I can, for instance, plot the probability density? I have
> looked
> at the help page for hist(), but couldn't find anything related to this
> there.
> 

Hi! And why do you think, its impossible to import the data in R?
It can handle rather large data volumes, especially in Linux. Just study
help("Memory-limits").

You can plot something looking like a histogram using barplot() or plot(...
type="h").

You can create the "histogram" class object manually.

For example, 

[ import bin counts... probably, it is a table of 2 columns, defining bin
borders and counts.
  let's  store it in ncounts. ]

> hst<-hist(rnorm(nrow(ncounts)),plot=FALSE)
> str(hst)  # actually I called hist(rnorm(100))
List of 7
 $ breaks     : num [1:10] -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2
 $ counts     : int [1:9] 3 6 12 9 24 19 14 9 4
 $ intensities: num [1:9] 0.06 0.12 0.24 0.18 0.48 ...
 $ density    : num [1:9] 0.06 0.12 0.24 0.18 0.48 ...
 $ mids       : num [1:9] -2.25 -1.75 -1.25 -0.75 -0.25 0.25 0.75 1.25 1.75
 $ xname      : chr "rnorm(100)"
 $ equidist   : logi TRUE
 - attr(*, "class")= chr "histogram"
> hst$breaks <-  [ bsdfgsdghsdghdfgh ]
> hst$counts <-  [ asfd109,mnasdfkjhdsfl ]
> hst$intensities <- 

Studying the hist.default() sources will help you to understand, how every
list element is created.

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